About four weeks ago I started learning Python again. This time I have much more time to learn it properly. Now I'm reworking my first Python project which I did about nine months ago. I just wrote a script from top to bottom without any structure. It‘s so much fun to correct it - not. I need a hug 🧸
You can still help sponsor the Brazilian national #Python conference!
You can also donate a ticket so that a student can attend!
#PythonBrasil2025

Aprender Django https://myblog.clonbg.es/aprender-django/ #Programación #Python https://clonbg.es

Introducing #PyBeach Speaker: Parul Gupta
Python Packaging Expressway: A Path Worth Taking
https://pretalx.com/pybeach2025/talk/HQ8SAA/
Are you mystified on how to deliver Python applications end-to-end? Learn how to create, publish, and manage your Python packages.
🗓️ Saturday, September 27, 2025
🌎 Santa Monica, CA
🎟️ Get your ticket now! https://ti.to/pybeach/pybeach2025
#Python

Good morning, especially to the two new and two returning @ThePSF directors!
And _especially_ good morning to the @ThePSF's moderation team. Y'all do great work and we don't thank you enough (nor could we)!
Did a talk recently at a pydata meet-up.
Wore a Plasticine Acton t-shirt.
A few people did ask about it before and after.
Although most people are aware of the genocide, not everyone is aware of the crushing of democratic protest in the UK.
#plasticineaction #genocide #gaza #tech #python #democracy #protest

New #preprint about #MonteCarlo #simulation for #statistics research:
Tidy simulation: Designing robust, reproducible, and scalable Monte Carlo simulations
https://arxiv.org/abs/2509.11741
There are a few papers already about how to design and think about statistical simulations, but very few are about how to implement them. Enter tidy simulation, which builds upon tidy data principles to make simulations easier to understand and simple to scale ☺️
This paper also #code examples in #RStats and #python
Realization: #Python dependency groups (PEP 735, added in pip 25.1) can be used for optional 'narrowing' of a dependency graph.
E.g. I have a project that depends on package `shaky>=X.Y.Z, <X.Y+1` where we have some trust issues with the API stablity of the `shaky` upstream.
But `X.Y.Z` is the 'nominal' resolution of that requirement for release, higher versions are allowed as an "early warning system" for upstream breakage (i.e. in a nightly build)
So I could have a dependency group called `release` or `nominal` or something that further restricts the requirement to `shaky==X.Y.Z`
I don't think I *am* going to do this, but it's a neat trick.
Congratulations to the new board members of @ThePSF , Abigail, Simon, Jannis and Sheena!
13 seats, 13 candidates... wtf? #Python
👕 Want the official PyCon NL T-shirt?
Buy your ticket before Oct 2! 🎟️
PyCon NL is coming — talks, workshops & Python fun 🐍
📅 Oct 16 | 📍 Utrecht
👉 pycon-nl.org
#PyConNL #Python #TshirtDeadline
🚀 Excited to announce my brand new course: Machine Learning Bootcamp for Complete Beginners 2025! 🎉
Learn Python, data handling, ML algorithms & build real projects—no experience needed!
👉 Enroll now: https://azamsharp.teachable.com/p/azamsharp-teachable-com-p-machine-learning-bootcamp-for-complete-beginners
#machinelearning #python #artificialintelligence #ai